基于大数据采集模块的变压器绕组形变故障诊断方法

Fault Diagnosis Method of Transformer Winding Deformation Based on Big Data Acquisition Module

通过加速度传感器采集变压器工作情况下的绕组振动信号,利用小波包分析法对振动信号进行特征提取分析,建立基于支持向量机的故障诊断模型,实现变压器绕组形变故障分类诊断。

The vibration signals of transformer winding are collected by acceleration sensor, the characteristics of vibration signals are extracted and analyzed by wavelet packet analysis, and the fault diagnosis model based on support vector machine is established to realize the fault classification and diagnosis of transformer winding deformation.